Pandas Profiling Report

Dataset statistics

Number of variables	27
Number of observations	723
Missing cells	237
Missing cells (%)	1.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	152.6 KiB
Average record size in memory	216.2 B

Variable types

NUM	13
CAT	11
UNSUPPORTED	2
URL	1

Reproduction

Analysis started	2020-11-23 10:12:40.834982
Analysis finished	2020-11-23 10:13:53.623056
Duration	1 minute and 12.79 seconds
Version	pandas-profiling v2.8.0
Command line	`pandas_profiling --config_file config.yaml [YOUR_FILE.csv]`
Download configuration	config.yaml

Warnings

`director` has a high cardinality: 585 distinct values	High cardinality
`released` has a high cardinality: 308 distinct values	High cardinality
`star` has a high cardinality: 437 distinct values	High cardinality
`writer` has a high cardinality: 613 distinct values	High cardinality
`hashtag` has a high cardinality: 722 distinct values	High cardinality
`name_roten` has a high cardinality: 722 distinct values	High cardinality
`synopsis` has a high cardinality: 661 distinct values	High cardinality
`year` is highly correlated with `year_released`	High correlation
`year_released` is highly correlated with `year`	High correlation
`calificacion1_dec` is highly correlated with `calificacion1`	High correlation
`calificacion1` is highly correlated with `calificacion1_dec`	High correlation
`calificacion2_dec` is highly correlated with `calificacion2`	High correlation
`calificacion2` is highly correlated with `calificacion2_dec`	High correlation
`calificacion1` has 58 (8.0%) missing values	Missing
`calificacion2` has 58 (8.0%) missing values	Missing
`calificacion1_dec` has 58 (8.0%) missing values	Missing
`calificacion2_dec` has 58 (8.0%) missing values	Missing
`director` is uniformly distributed	Uniform
`star` is uniformly distributed	Uniform
`writer` is uniformly distributed	Uniform
`hashtag` is uniformly distributed	Uniform
`name_roten` is uniformly distributed	Uniform
`gross` has unique values	Unique
`company` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`name` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`budget` has 124 (17.2%) zeros	Zeros
`promedio_ganancia` has 292 (40.4%) zeros	Zeros
`calificacion1_dec` has 26 (3.6%) zeros	Zeros

budget
Real number (ℝ_≥0)

ZEROS

Distinct count	141
Unique (%)	19.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	40008846.70401107
Minimum	0
Maximum	250000000
Zeros	124
Zeros (%)	17.2%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	4450000
median	20000000
Q3	50000000
95-th percentile	170000000
Maximum	250000000
Range	250000000
Interquartile range (IQR)	45550000

Descriptive statistics

Standard deviation	52935707.8
Coefficient of variation (CV)	1.323100068
Kurtosis	2.813575462
Mean	40008846.7
Median Absolute Deviation (MAD)	19000000
Skewness	1.840083157
Sum	2.892639617e+10
Variance	2.80218916e+15

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	124	17.2%
20000000	26	3.6%
5000000	24	3.3%
40000000	23	3.2%
30000000	22	3.0%
35000000	22	3.0%
15000000	20	2.8%
25000000	19	2.6%
10000000	19	2.6%
50000000	16	2.2%
Other values (131)	408	56.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	124	17.2%
50000	2	0.3%
100000	2	0.3%
130000	1	0.1%
200000	1	0.1%

Value	Count	Frequency (%)
250000000	3	0.4%
245000000	2	0.3%
225000000	2	0.3%
215000000	2	0.3%
210000000	1	0.1%

company
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

country
Categorical

Distinct count	3
Unique (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

USA	577
UK	116
France	30

Common Values
Length

Value	Count	Frequency (%)
USA	577	79.8%
UK	116	16.0%
France	30	4.1%

Length

Max length	6
Median length	3
Mean length	2.964038728
Min length	2

director
Categorical

HIGH CARDINALITY
UNIFORM

Distinct count	585
Unique (%)	80.9%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Woody Allen	4
Denis Villeneuve	3
James DeMonaco	3
Ridley Scott	3
Clint Eastwood	3
Other values (580)	707

Common Values
Length

Value	Count	Frequency (%)
Woody Allen	4	0.6%
Denis Villeneuve	3	0.4%
James DeMonaco	3	0.4%
Ridley Scott	3	0.4%
Clint Eastwood	3	0.4%
Shawn Levy	3	0.4%
Robert Schwentke	3	0.4%
Paul Feig	3	0.4%
James Wan	3	0.4%
Nicholas Stoller	3	0.4%
Other values (575)	692	95.7%

Length

Max length	27
Median length	13
Mean length	12.99585062
Min length	3

genre
Categorical

Distinct count	14
Unique (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Action	175
Comedy	162
Drama	144
Biography	68
Adventure	46
Other values (9)	128

Common Values
Length

Value	Count	Frequency (%)
Action	175	24.2%
Comedy	162	22.4%
Drama	144	19.9%
Biography	68	9.4%
Adventure	46	6.4%
Crime	44	6.1%
Animation	42	5.8%
Horror	33	4.6%
Mystery	3	0.4%
Sci-Fi	2	0.3%
Other values (4)	4	0.6%

Length

Max length	9
Median length	6
Mean length	6.398340249
Min length	5

gross
Real number (ℝ_≥0)

UNIQUE

Distinct count	723
Unique (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	53309893.669432916
Minimum	441
Maximum	936662225
Zeros	0
Zeros (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	441
5-th percentile	27778.5
Q1	2233985.5
median	22525921
Q3	65184892.5
95-th percentile	227843079.5
Maximum	936662225
Range	936661784
Interquartile range (IQR)	62950907

Descriptive statistics

Standard deviation	87040912.25
Coefficient of variation (CV)	1.632734681
Kurtosis	22.08329029
Mean	53309893.67
Median Absolute Deviation (MAD)	22105655
Skewness	3.74713064
Sum	3.854305312e+10
Variance	7.576120405e+15

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
233921534	1	0.1%
461162	1	0.1%
23049575	1	0.1%
37047	1	0.1%
16740	1	0.1%
42652003	1	0.1%
44469602	1	0.1%
130178411	1	0.1%
32095	1	0.1%
116400	1	0.1%
Other values (713)	713	98.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
441	1	0.1%
2137	1	0.1%
2254	1	0.1%
4105	1	0.1%
4267	1	0.1%

Value	Count	Frequency (%)
936662225	1	0.1%
652270625	1	0.1%
532177324	1	0.1%
486295561	1	0.1%
459005868	1	0.1%

name
Unsupported

REJECTED
UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	5.8 KiB

rating
Categorical

Distinct count	8
Unique (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

R	355
PG-13	267
PG	74
NOT RATED	17
UNRATED	5
Other values (3)	5

Common Values
Length

Value	Count	Frequency (%)
R	355	49.1%
PG-13	267	36.9%
PG	74	10.2%
NOT RATED	17	2.4%
UNRATED	5	0.7%
G	3	0.4%
Not specified	1	0.1%
NC-17	1	0.1%

Length

Max length	13
Median length	2
Mean length	2.831258645
Min length	1

day_released
Real number (ℝ_≥0)

Distinct count	31
Unique (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	16.172890733056708
Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	9
median	17
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	8.365059624
Coefficient of variation (CV)	0.5172272392
Kurtosis	-1.127788383
Mean	16.17289073
Median Absolute Deviation (MAD)	7
Skewness	-0.1388383412
Sum	11693
Variance	69.97422252

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
25	48	6.6%
23	32	4.4%
18	31	4.3%
26	30	4.1%
16	29	4.0%
11	28	3.9%
19	28	3.9%
21	27	3.7%
10	26	3.6%
20	26	3.6%
Other values (21)	418	57.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	24	3.3%
2	17	2.4%
3	16	2.2%
4	21	2.9%
5	19	2.6%

Value	Count	Frequency (%)
31	9	1.2%
30	12	1.7%
29	18	2.5%
28	16	2.2%
27	25	3.5%

month_released
Real number (ℝ_≥0)

Distinct count	12
Unique (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.643153526970955
Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.417798778
Coefficient of variation (CV)	0.5144843883
Kurtosis	-1.190246935
Mean	6.643153527
Median Absolute Deviation (MAD)	3
Skewness	-0.1028426151
Sum	4803
Variance	11.68134849

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
8	78	10.8%
10	66	9.1%
4	65	9.0%
11	64	8.9%
9	63	8.7%
7	63	8.7%
1	61	8.4%
12	55	7.6%
3	54	7.5%
5	52	7.2%
Other values (2)	102	14.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	61	8.4%
2	52	7.2%
3	54	7.5%
4	65	9.0%
5	52	7.2%

Value	Count	Frequency (%)
12	55	7.6%
11	64	8.9%
10	66	9.1%
9	63	8.7%
8	78	10.8%

year_released
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct count	5
Unique (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	2014.6929460580914
Minimum	2013
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	2013
5-th percentile	2013
Q1	2014
median	2015
Q3	2016
95-th percentile	2017
Maximum	2017
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.195463508
Coefficient of variation (CV)	0.0005933725584
Kurtosis	-1.04928311
Mean	2014.692946
Median Absolute Deviation (MAD)	1
Skewness	0.07756779823
Sum	1456623
Variance	1.429132998

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
2015	184	25.4%
2014	178	24.6%
2016	174	24.1%
2013	148	20.5%
2017	39	5.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2013	148	20.5%
2014	178	24.6%
2015	184	25.4%
2016	174	24.1%
2017	39	5.4%

Value	Count	Frequency (%)
2017	39	5.4%
2016	174	24.1%
2015	184	25.4%
2014	178	24.6%
2013	148	20.5%

released
Categorical

HIGH CARDINALITY

Distinct count	308
Unique (%)	42.6%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

2015-01-23	7
2016-11-18	7
2015-09-25	7
2016-03-4	6
2015-08-7	6
Other values (303)	690

Common Values
Length

Value	Count	Frequency (%)
2015-01-23	7	1.0%
2016-11-18	7	1.0%
2015-09-25	7	1.0%
2016-03-4	6	0.8%
2015-08-7	6	0.8%
2016-08-26	6	0.8%
2015-01-16	6	0.8%
2014-08-8	6	0.8%
2016-10-21	6	0.8%
2015-04-10	6	0.8%
Other values (298)	660	91.3%

Length

Max length	10
Median length	10
Mean length	9.742738589
Min length	9

runtime
Real number (ℝ_≥0)

Distinct count	78
Unique (%)	10.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	108.4508990318119
Minimum	76
Maximum	180
Zeros	0
Zeros (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	76
5-th percentile	88
Q1	97
median	106
Q3	118
95-th percentile	137
Maximum	180
Range	104
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	15.9554004
Coefficient of variation (CV)	0.1471209602
Kurtosis	1.573109862
Mean	108.450899
Median Absolute Deviation (MAD)	10
Skewness	0.9896742011
Sum	78410
Variance	254.5748018

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
100	31	4.3%
98	26	3.6%
106	25	3.5%
104	21	2.9%
99	20	2.8%
91	20	2.8%
101	20	2.8%
97	20	2.8%
96	20	2.8%
95	19	2.6%
Other values (68)	501	69.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
76	2	0.3%
77	1	0.1%
79	2	0.3%
80	1	0.1%
81	2	0.3%

Value	Count	Frequency (%)
180	2	0.3%
169	1	0.1%
167	1	0.1%
165	2	0.3%
163	1	0.1%

score
Real number (ℝ_≥0)

Distinct count	47
Unique (%)	6.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	6.478423236514524
Minimum	1.5
Maximum	8.6
Zeros	0
Zeros (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1.5
5-th percentile	5.1
Q1	6
median	6.5
Q3	7.1
95-th percentile	7.8
Maximum	8.6
Range	7.1
Interquartile range (IQR)	1.1

Descriptive statistics

Standard deviation	0.8473221649
Coefficient of variation (CV)	0.1307914185
Kurtosis	1.751003128
Mean	6.478423237
Median Absolute Deviation (MAD)	0.5
Skewness	-0.5803962431
Sum	4683.9
Variance	0.7179548511

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
6.3	47	6.5%
6.5	42	5.8%
6.7	42	5.8%
6.2	38	5.3%
7	35	4.8%
6.6	33	4.6%
6.4	32	4.4%
5.7	31	4.3%
7.1	29	4.0%
6	27	3.7%
Other values (37)	367	50.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1.5	1	0.1%
3.1	1	0.1%
3.5	1	0.1%
3.9	2	0.3%
4.1	2	0.3%

Value	Count	Frequency (%)
8.6	1	0.1%
8.5	1	0.1%
8.2	3	0.4%
8.1	9	1.2%
8	9	1.2%

star
Categorical

HIGH CARDINALITY
UNIFORM

Distinct count	437
Unique (%)	60.4%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Robert De Niro	8
Miles Teller	6
Michael Fassbender	6
Jesse Eisenberg	6
Mark Wahlberg	6
Other values (432)	691

Common Values
Length

Value	Count	Frequency (%)
Robert De Niro	8	1.1%
Miles Teller	6	0.8%
Michael Fassbender	6	0.8%
Jesse Eisenberg	6	0.8%
Mark Wahlberg	6	0.8%
Jason Bateman	6	0.8%
Matthew McConaughey	6	0.8%
Jennifer Lawrence	5	0.7%
Christian Bale	5	0.7%
Steve Carell	5	0.7%
Other values (427)	664	91.8%

Length

Max length	23
Median length	13
Mean length	13.19502075
Min length	8

votes
Real number (ℝ_≥0)

Distinct count	722
Unique (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	104574.38865836791
Minimum	980
Maximum	1095553
Zeros	0
Zeros (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	980
5-th percentile	6288.1
Q1	23162.5
median	56365
Q3	122419
95-th percentile	388218.1
Maximum	1095553
Range	1094573
Interquartile range (IQR)	99256.5

Descriptive statistics

Standard deviation	134459.103
Coefficient of variation (CV)	1.285774698
Kurtosis	9.047139369
Mean	104574.3887
Median Absolute Deviation (MAD)	40249
Skewness	2.628903852
Sum	75607283
Variance	1.807925039e+10

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
9141	2	0.3%
105471	1	0.1%
31057	1	0.1%
72027	1	0.1%
8538	1	0.1%
341715	1	0.1%
33542	1	0.1%
13654	1	0.1%
13653	1	0.1%
59906	1	0.1%
Other values (712)	712	98.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
980	1	0.1%
1248	1	0.1%
1645	1	0.1%
1896	1	0.1%
1959	1	0.1%

Value	Count	Frequency (%)
1095553	1	0.1%
895552	1	0.1%
791340	1	0.1%
687192	1	0.1%
668625	1	0.1%

writer
Categorical

HIGH CARDINALITY
UNIFORM

Distinct count	613
Unique (%)	84.8%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Steven Knight	6
Woody Allen	4
Luc Besson	4
Skip Woods	3
Darren Lemke	3
Other values (608)	703

Common Values
Length

Value	Count	Frequency (%)
Steven Knight	6	0.8%
Woody Allen	4	0.6%
Luc Besson	4	0.6%
Skip Woods	3	0.4%
Darren Lemke	3	0.4%
Scott Neustadter	3	0.4%
Joel Coen	3	0.4%
Peter Landesman	3	0.4%
Christopher Markus	3	0.4%
Andrew Jay Cohen	3	0.4%
Other values (603)	688	95.2%

Length

Max length	27
Median length	13
Mean length	13.02904564
Min length	7

year
Categorical

HIGH CORRELATION

Distinct count	4
Unique (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

2014	185
2013	185
2016	182
2015	171

Common Values
Length

Value	Count	Frequency (%)
2014	185	25.6%
2013	185	25.6%
2016	182	25.2%
2015	171	23.7%

Length

Max length	4
Median length	4
Mean length	4
Min length	4

hashtag
Categorical

HIGH CARDINALITY
UNIFORM

Distinct count	722
Unique (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

#Concussion	2
#Stoker	1
#TheBFG	1
#Don'tBreathe	1
#Dope	1
Other values (717)	717

Common Values
Length

Value	Count	Frequency (%)
#Concussion	2	0.3%
#Stoker	1	0.1%
#TheBFG	1	0.1%
#Don'tBreathe	1	0.1%
#Dope	1	0.1%
#ALongWayDown	1	0.1%
#Riddick	1	0.1%
#ExMachina	1	0.1%
#TheHollars	1	0.1%
#300:RiseofanEmpire	1	0.1%
Other values (712)	712	98.5%

Length

Max length	51
Median length	13
Mean length	13.91286307
Min length	3

name_roten
Categorical

HIGH CARDINALITY
UNIFORM

Distinct count	722
Unique (%)	99.9%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

concussion	2
kubo_and_the_two_strings	1
mr._peabody_&_sherman	1
pawn_sacrifice	1
turbo	1
Other values (717)	717

Common Values
Length

Value	Count	Frequency (%)
concussion	2	0.3%
kubo_and_the_two_strings	1	0.1%
mr._peabody_&_sherman	1	0.1%
pawn_sacrifice	1	0.1%
turbo	1	0.1%
as_above,_so_below	1	0.1%
inherent_vice	1	0.1%
the_east	1	0.1%
need_for_speed	1	0.1%
captain_america:_the_winter_soldier	1	0.1%
Other values (712)	712	98.5%

Length

Max length	59
Median length	13
Mean length	14.57952974
Min length	2

calificacion1
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct count	98
Unique (%)	14.7%
Missing	58
Missing (%)	8.0%
Infinite	0
Infinite (%)	0.0%

Mean	57.83609022556391
Minimum	0.0
Maximum	100.0
Zeros	4
Zeros (%)	0.6%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	12
Q1	34
median	61
Q3	83
95-th percentile	95
Maximum	100
Range	100
Interquartile range (IQR)	49

Descriptive statistics

Standard deviation	27.50222154
Coefficient of variation (CV)	0.4755200677
Kurtosis	-1.158299338
Mean	57.83609023
Median Absolute Deviation (MAD)	23
Skewness	-0.2979229512
Sum	38461
Variance	756.3721895

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
91	16	2.2%
92	15	2.1%
84	13	1.8%
72	13	1.8%
47	13	1.8%
18	12	1.7%
89	12	1.7%
54	11	1.5%
81	11	1.5%
95	11	1.5%
Other values (88)	538	74.4%
(Missing)	58	8.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	0.6%
3	1	0.1%
4	3	0.4%
5	2	0.3%
7	6	0.8%

Value	Count	Frequency (%)
100	2	0.3%
99	3	0.4%
98	5	0.7%
97	9	1.2%
96	7	1.0%

calificacion2
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct count	77
Unique (%)	11.6%
Missing	58
Missing (%)	8.0%
Infinite	0
Infinite (%)	0.0%

Mean	59.19849624060151
Minimum	15.0
Maximum	94.0
Zeros	0
Zeros (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	15
5-th percentile	30
Q1	45
median	59
Q3	74
95-th percentile	88
Maximum	94
Range	79
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	18.05938157
Coefficient of variation (CV)	0.3050648702
Kurtosis	-0.9046208248
Mean	59.19849624
Median Absolute Deviation (MAD)	14
Skewness	-0.03989315974
Sum	39367
Variance	326.1412628

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
49	19	2.6%
51	17	2.4%
71	15	2.1%
44	15	2.1%
57	15	2.1%
40	15	2.1%
38	15	2.1%
76	15	2.1%
52	14	1.9%
41	14	1.9%
Other values (67)	511	70.7%
(Missing)	58	8.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
15	1	0.1%
17	1	0.1%
19	1	0.1%
20	1	0.1%
22	2	0.3%

Value	Count	Frequency (%)
94	2	0.3%
93	3	0.4%
92	4	0.6%
91	9	1.2%
90	4	0.6%

synopsis
Categorical

HIGH CARDINALITY

Distinct count	661
Unique (%)	92.1%
Missing	5
Missing (%)	0.7%
Memory size	5.6 KiB

Sin Datos	56
a fateful blow to the head makes a middle aged lesbian housewife robin weigert seek satisfaction as a high end escort	2
a drug addled manipulative misanthrope james mcavoy begins to experience increasingly severe hallucinations as he tries to solve the murder of a japanese student	2
hoping to harness the magical smurf essence evil wizard gargamel creates a pair of smurflike creatures called naughties however only a real smurf can give gargamel what he wants so he kidnaps smurfette to force her to cast a spell that will transform the naughties into smurfs papa clumsy and the rest of the smurfs reunite with their human friends patrick neil patrick harris and grace jayma mays to rescue smurfette from the wizard s clutches	1
looking for an exciting career young bobby dorfman leaves new york for the glitz and glamour of 1930s hollywood after landing a job with his uncle bobby falls for vonnie a charming woman who happens to be his employer s mistress settling for friendship but ultimately heartbroken bobby returns to the bronx and begins working in a nightclub everything falls into place when he finds romance with a beautiful socialite until vonnie walks back into his life and captures his heart once again	1
Other values (656)	656

Common Values
Length

Value	Count	Frequency (%)
Sin Datos	56	7.7%
a fateful blow to the head makes a middle aged lesbian housewife robin weigert seek satisfaction as a high end escort	2	0.3%
a drug addled manipulative misanthrope james mcavoy begins to experience increasingly severe hallucinations as he tries to solve the murder of a japanese student	2	0.3%
hoping to harness the magical smurf essence evil wizard gargamel creates a pair of smurflike creatures called naughties however only a real smurf can give gargamel what he wants so he kidnaps smurfette to force her to cast a spell that will transform the naughties into smurfs papa clumsy and the rest of the smurfs reunite with their human friends patrick neil patrick harris and grace jayma mays to rescue smurfette from the wizard s clutches	1	0.1%
looking for an exciting career young bobby dorfman leaves new york for the glitz and glamour of 1930s hollywood after landing a job with his uncle bobby falls for vonnie a charming woman who happens to be his employer s mistress settling for friendship but ultimately heartbroken bobby returns to the bronx and begins working in a nightclub everything falls into place when he finds romance with a beautiful socialite until vonnie walks back into his life and captures his heart once again	1	0.1%
anna is a bereft young german woman whose fiance frantz was killed in the trenches of world war i adrien a french veteran of the war makes a mysterious appearance in her town placing flowers on frantz s grave adrien s presence is met with resistance by the small community still reeling from germany s defeat yet anna gradually becomes closer to the handsome and melancholy young man as she learns of his deep friendship with frantz	1	0.1%
mild mannered sheep farmer albert stark seth macfarlane feels certain that the western frontier is trying to kill him then he loses his girlfriend louise amanda seyfried to the town s most successful businessman however a beautiful pistol packing woman named anna charlize theron rides into town and helps albert find his inner courage then stark must put his newfound bravery to the test when anna s outlaw husband arrives with plans to plant him in an unmarked grave	1	0.1%
in rural england 1865 a woman who is trapped in a loveless marriage to a much older man begins a passionate affair with a man her own age	1	0.1%
in the years before the civil war solomon northup chiwetel ejiofor a free black man from upstate new york is kidnapped and sold into slavery in the south subjected to the cruelty of one malevolent owner michael fassbender he also finds unexpected kindness from another as he struggles continually to survive and maintain some of his dignity then in the 12th year of the disheartening ordeal a chance meeting with an abolitionist from canada changes solomon s life forever	1	0.1%
when astronauts blast off from the planet mars they leave behind mark watney matt damon presumed dead after a fierce storm with only a meager amount of supplies the stranded visitor must utilize his wits and spirit to find a way to survive on the hostile planet meanwhile back on earth members of nasa and a team of international scientists work tirelessly to bring him home while his crew mates hatch their own plan for a daring rescue mission	1	0.1%
Other values (651)	651	90.0%
(Missing)	5	0.7%

Length

Max length	499
Median length	466
Mean length	354.2655602
Min length	3

ruta
URL

Distinct count	721
Unique (%)	99.7%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

https://www.rottentomatoes.com/m/concussion	2
https://www.rottentomatoes.com/m/filth_2013	2
https://www.rottentomatoes.com/m/kill_the_messenger_2015	1
https://www.rottentomatoes.com/m/eye_in_the_sky	1
https://www.rottentomatoes.com/m/big_hero_6	1
Other values (716)	716

Value	Count	Frequency (%)
https://www.rottentomatoes.com/m/concussion	2	0.3%
https://www.rottentomatoes.com/m/filth_2013	2	0.3%
https://www.rottentomatoes.com/m/kill_the_messenger_2015	1	0.1%
https://www.rottentomatoes.com/m/eye_in_the_sky	1	0.1%
https://www.rottentomatoes.com/m/big_hero_6	1	0.1%
https://www.rottentomatoes.com/m/nocturnal_animals	1	0.1%
https://www.rottentomatoes.com/m/nebraska	1	0.1%
https://www.rottentomatoes.com/m/x_men_apocalypse	1	0.1%
https://www.rottentomatoes.com/m/irrational_man	1	0.1%
https://www.rottentomatoes.com/m/august_osage_county	1	0.1%
Other values (711)	711	98.3%

Value	Count	Frequency (%)
https	723	100.0%

Value	Count	Frequency (%)
www.rottentomatoes.com	723	100.0%

Value	Count	Frequency (%)
/m/concussion	2	0.3%
/m/filth_2013	2	0.3%
/m/philomena	1	0.1%
/m/gangster_squad_2012	1	0.1%
/m/carol	1	0.1%
/m/life_after_beth	1	0.1%
/m/transcendence_2014	1	0.1%
/m/i_spit_on_your_grave_2	1	0.1%
/m/selma	1	0.1%
/m/contracted	1	0.1%
Other values (711)	711	98.3%

Value	Count	Frequency (%)
	723	100.0%

Value	Count	Frequency (%)
	723	100.0%

promedio_ganancia
Real number (ℝ_≥0)

ZEROS

Distinct count	53
Unique (%)	7.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	18.589211618257263
Minimum	0
Maximum	2672
Zeros	292
Zeros (%)	40.4%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	2
95-th percentile	22.6
Maximum	2672
Range	2672
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	135.6247624
Coefficient of variation (CV)	7.295885655
Kurtosis	225.1033012
Mean	18.58921162
Median Absolute Deviation (MAD)	1
Skewness	13.43063868
Sum	13440
Variance	18394.07617

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	292	40.4%
1	223	30.8%
2	74	10.2%
3	23	3.2%
4	19	2.6%
5	14	1.9%
7	8	1.1%
6	7	1.0%
8	5	0.7%
9	5	0.7%
Other values (43)	53	7.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	292	40.4%
1	223	30.8%
2	74	10.2%
3	23	3.2%
4	19	2.6%

Value	Count	Frequency (%)
2672	1	0.1%
1252	1	0.1%
1245	1	0.1%
898	1	0.1%
618	1	0.1%

calificacion1_dec
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING
ZEROS

Distinct count	6
Unique (%)	0.9%
Missing	58
Missing (%)	8.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.9037593984962404
Minimum	0.0
Maximum	5.0
Zeros	26
Zeros (%)	3.6%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	3
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.422623045
Coefficient of variation (CV)	0.4899245597
Kurtosis	-1.027528024
Mean	2.903759398
Median Absolute Deviation (MAD)	1
Skewness	-0.2483756321
Sum	1931
Variance	2.023856328

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
4	196	27.1%
2	124	17.2%
3	120	16.6%
1	114	15.8%
5	85	11.8%
0	26	3.6%
(Missing)	58	8.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	26	3.6%
1	114	15.8%
2	124	17.2%
3	120	16.6%
4	196	27.1%

Value	Count	Frequency (%)
5	85	11.8%
4	196	27.1%
3	120	16.6%
2	124	17.2%
1	114	15.8%

calificacion2_dec
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct count	5
Unique (%)	0.8%
Missing	58
Missing (%)	8.0%
Infinite	0
Infinite (%)	0.0%

Mean	2.954887218045113
Minimum	1.0
Maximum	5.0
Zeros	0
Zeros (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	4
Maximum	5
Range	4
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	0.9399489032
Coefficient of variation (CV)	0.318099756
Kurtosis	-0.7480501217
Mean	2.954887218
Median Absolute Deviation (MAD)	1
Skewness	-0.05191936713
Sum	1965
Variance	0.8835039406

Histogram

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
3	224	31.0%
2	198	27.4%
4	194	26.8%
1	31	4.3%
5	18	2.5%
(Missing)	58	8.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	31	4.3%
2	198	27.4%
3	224	31.0%
4	194	26.8%
5	18	2.5%

Value	Count	Frequency (%)
5	18	2.5%
4	194	26.8%
3	224	31.0%
2	198	27.4%
1	31	4.3%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

First rows

	budget	company	country	director	genre	gross	name	rating	day_released	month_released	year_released	released	runtime	score	star	votes	writer	year	hashtag	name_roten	calificacion1	calificacion2	synopsis	ruta	promedio_ganancia	calificacion1_dec	calificacion2_dec
0	100000000	Red Granite Pictures	USA	Martin Scorsese	Biography	116900694	The Wolf of Wall Street	R	25	12	2013	2013-12-25	180	8.2	Leonardo DiCaprio	895552	Terence Winter	2013	#TheWolfofWallStreet	the_wolf_of_wall_street	80.0	83.0	in 1987 jordan belfort leonardo dicaprio takes an entry level job at a wall street brokerage firm by the early 1990s while still in his 20s belfort founds his own firm stratton oakmont together with his trusted lieutenant jonah hill and a merry band of brokers belfort makes a huge fortune by defrauding wealthy investors out of millions however while belfort and his cronies partake in a hedonistic brew of sex drugs and thrills the sec and the fbi close in on his empire of excess	https://www.rottentomatoes.com/m/the_wolf_of_wall_street_2013	1	4.0	4.0
1	20000000	New Line Cinema	USA	James Wan	Horror	137400141	The Conjuring	R	19	7	2013	2013-07-19	112	7.5	Patrick Wilson	342870	Chad Hayes	2013	#TheConjuring	the_conjuring	86.0	83.0	in 1970 paranormal investigators and demonologists lorraine vera farmiga and ed patrick wilson warren are summoned to the home of carolyn lili taylor and roger ron livingston perron the perrons and their five daughters have recently moved into a secluded farmhouse where a supernatural presence has made itself known though the manifestations are relatively benign at first events soon escalate in horrifying fashion especially after the warrens discover the house s macabre history	https://www.rottentomatoes.com/m/the_conjuring	0	4.0	4.0
2	46000000	Alcon Entertainment	USA	Denis Villeneuve	Crime	61002302	Prisoners	R	20	9	2013	2013-09-20	153	8.1	Hugh Jackman	449489	Aaron Guzikowski	2013	#Prisoners	prisoners	81.0	87.0	keller dover hugh jackman faces a parent s worst nightmare when his 6 year old daughter anna and her friend go missing the only lead is an old motorhome that had been parked on their street the head of the investigation detective loki jake gyllenhaal arrests the driver paul dano but a lack of evidence forces loki to release his only suspect dover knowing that his daughter s life is at stake decides that he has no choice but to take matters into his own hands	https://www.rottentomatoes.com/m/prisoners_2013	1	4.0	4.0
3	150000000	Walt Disney Animation Studios	USA	Chris Buck	Animation	400738009	Frozen	PG	27	11	2013	2013-11-27	102	7.5	Kristen Bell	464149	Jennifer Lee	2013	#Frozen	frozen	56.0	57.0	a performance artist turns his suicide into a work of art by melting ice with his body	https://www.rottentomatoes.com/m/frozen	0	3.0	3.0
4	75000000	Summit Entertainment	USA	Louis Leterrier	Crime	117723989	Now You See Me	PG-13	31	5	2013	2013-05-31	115	7.3	Jesse Eisenberg	505432	Ed Solomon	2013	#NowYouSeeMe	now_you_see_me	51.0	70.0	charismatic magician atlas jesse eisenberg leads a team of talented illusionists called the four horsemen atlas and his comrades mesmerize audiences with a pair of amazing magic shows that drain the bank accounts of the corrupt and funnel the money to audience members a federal agent mark ruffalo and an interpol detective m lanie laurent intend to rein in the horsemen before their next caper and they turn to thaddeus morgan freeman a famous debunker for help	https://www.rottentomatoes.com/m/now_you_see_me	1	3.0	4.0
5	23000000	Annapurna Pictures	USA	Spike Jonze	Drama	25568251	Her	R	10	1	2014	2014-01-10	126	8.0	Joaquin Phoenix	404796	Spike Jonze	2013	#Her	her	95.0	82.0	a sensitive and soulful man earns a living by writing personal letters for other people left heartbroken after his marriage ends theodore joaquin phoenix becomes fascinated with a new operating system which reportedly develops into an intuitive and unique entity in its own right he starts the program and meets samantha scarlett johansson whose bright voice reveals a sensitive playful personality though friends initially the relationship soon deepens into love	https://www.rottentomatoes.com/m/her	1	5.0	4.0
6	225000000	Warner Bros.	USA	Zack Snyder	Action	291045518	Man of Steel	PG-13	14	6	2013	2013-06-14	143	7.1	Henry Cavill	590734	David S. Goyer	2013	#ManofSteel	man_of_steel	56.0	75.0	with the imminent destruction of krypton their home planet jor el russell crowe and his wife seek to preserve their race by sending their infant son to earth the child s spacecraft lands at the farm of jonathan kevin costner and martha diane lane kent who name him clark and raise him as their own son though his extraordinary abilities have led to the adult clark henry cavill living on the fringe of society he finds he must become a hero to save those he loves from a dire threat	https://www.rottentomatoes.com/m/superman_man_of_steel	1	3.0	4.0
7	37000000	New Line Cinema	USA	Rawson Marshall Thurber	Comedy	150394119	We're the Millers	R	7	8	2013	2013-08-7	110	7.0	Jason Sudeikis	342500	Bob Fisher	2013	#We'retheMillers	we're_the_millers	48.0	72.0	small time pot dealer david jason sudeikis learns the hard way that no good deed goes unpunished trying to help some teens he is jumped by thugs and loses his cash and stash now david s in big debt to his supplier and to wipe the slate clean he must go to mexico to pick up the guy s latest shipment to accomplish his mission dave devises a foolproof plan he packs a fake family into a huge rv and heads south of the border for a wild weekend that is sure to end with a bang	https://www.rottentomatoes.com/m/were_the_millers	0	2.0	4.0
8	0	Quat'sous Films	France	Abdellatif Kechiche	Drama	2199675	Blue Is the Warmest Color	NC-17	14	2	2014	2014-02-14	180	7.8	Léa Seydoux	107119	Abdellatif Kechiche	2013	#BlueIstheWarmestColor	blue_is_the_warmest_color	89.0	85.0	a french teen ad le exarchopoulos forms a deep emotional and sexual connection with an older art student l a seydoux she met in a lesbian bar	https://www.rottentomatoes.com/m/blue_is_the_warmest_color	0	4.0	4.0
9	190000000	Warner Bros.	USA	Guillermo del Toro	Action	101802906	Pacific Rim	PG-13	12	7	2013	2013-07-12	131	7.0	Idris Elba	407588	Travis Beacham	2013	#PacificRim	pacific_rim	72.0	77.0	long ago legions of monstrous creatures called kaiju arose from the sea bringing with them all consuming war to fight the kaiju mankind developed giant robots called jaegers designed to be piloted by two humans locked together in a neural bridge however even the jaegers are not enough to defeat the kaiju and humanity is on the verge of defeat mankind s last hope now lies with a washed up ex pilot charlie hunnam an untested trainee rinko kikuchi and an old obsolete jaeger	https://www.rottentomatoes.com/m/pacific_rim_2013	2	4.0	4.0

Last rows

	budget	company	country	director	genre	gross	name	rating	day_released	month_released	year_released	released	runtime	score	star	votes	writer	year	hashtag	name_roten	calificacion1	calificacion2	synopsis	ruta	promedio_ganancia	calificacion1_dec	calificacion2_dec
713	0	StudioCanal	UK	Susanna White	Crime	3152725	Our Kind of Traitor	R	30	9	2016	2016-09-30	108	6.2	Carlos Acosta	13857	John le Carré	2016	#OurKindofTraitor	our_kind_of_traitor	72.0	50.0	a money launderer stellan skarsgard for russian gangsters asks a couple vacationing in marrakech morocco to deliver incriminating evidence to an mi6 agent damian lewis	https://www.rottentomatoes.com/m/our_kind_of_traitor	0	4.0	2.0
714	8500000	CBS Films	USA	Steve Carr	Animation	19985196	Middle School: The Worst Years of My Life	PG	7	10	2016	2016-10-7	92	6.1	Griffin Gluck	4556	Chris Bowman	2016	#MiddleSchool:TheWorstYearsofMyLife	middle_school:_the_worst_years_of_my_life	63.0	58.0	rafe khatchadorian griffin gluck has an epic imagination and a slight problem with authority and these things collide when he transfers to a middle school where students are expected to follow the rules this doesn t sit well with rafe with help from his new friend leo thomas barbusca the mischievous lad concocts schemes to drive his tyrannical principal andy daly crazy while also using his charm and wits to impress a girl isabela moner and battle the bullies	https://www.rottentomatoes.com/m/middle_school_the_worst_years_of_my_life	0	3.0	3.0
715	0	Killer Films	USA	Andrew Neel	Drama	23020	Goat	R	23	9	2016	2016-09-23	96	5.7	Ben Schnetzer	4439	David Gordon Green	2016	#Goat	goat	79.0	44.0	nineteen year old brad is a new college student and wants desperately to fit in taking a cue from his older brother brett brad decides to pledge a fraternity at first it s all parties and girls but as brad enters into the final stretch of the pledging ritual known as hell week things take a violent humiliating turn what occurs in the name of brotherhood tests both boys and their relationship in brutal ways	https://www.rottentomatoes.com/m/goat_2016	0	4.0	2.0
716	0	Anna Biller Productions	USA	Anna Biller	Comedy	228894	The Love Witch	UNRATED	10	3	2017	2017-03-10	120	6.2	Samantha Robinson	6054	Anna Biller	2016	#TheLoveWitch	the_love_witch	95.0	61.0	elaine samantha robinson a beautiful young witch is determined to find a man to love her in her gothic victorian apartment she makes spells and potions then picks up men and seduces them however her spells work too well and she ends up with a string of hapless victims when she at last meets the man of her dreams her desperation to be loved drives her to the brink of insanity and murder	https://www.rottentomatoes.com/m/the_love_witch	0	5.0	3.0
717	20000000	LD Entertainment	USA	Kevin Reynolds	Action	36874745	Risen	PG-13	19	2	2016	2016-02-19	107	6.3	Joseph Fiennes	19084	Kevin Reynolds	2016	#Risen	risen	53.0	70.0	roman military tribune clavius joseph fiennes remains set in his ways after serving 25 years in the army he arrives at a crossroad when he s tasked to investigate the mystery of what happened to jesus cliff curtis following the crucifixion accompanied by trusted aide lucius tom felton his quest to disprove rumors of a risen messiah makes him question his own beliefs and spirituality as his journey takes him to places never dreamed of clavius discovers the truth that he s been seeking	https://www.rottentomatoes.com/m/risen_2016	1	3.0	4.0
718	0	Fox Searchlight Pictures	UK	Mandie Fletcher	Comedy	4750497	Absolutely Fabulous: The Movie	R	22	7	2016	2016-07-22	91	5.4	Jennifer Saunders	9161	Jennifer Saunders	2016	#AbsolutelyFabulous:TheMovie	absolutely_fabulous:_the_movie	59.0	41.0	publicist edina monsoon and best friend patsy stone are still shopping drinking and clubbing their way around london s trendiest hot spots while attending an elite party they wind up knocking supermodel kate moss into the river thames her untimely demise creates a media firestorm leading the paparazzi to relentlessly pursue the hapless duo seeking refuge the gals flee to the french riviera where they hatch a plan to make their escape permanent and live the high life forever	https://www.rottentomatoes.com/m/absolutely_fabulous_the_movie	0	3.0	2.0
719	0	Siempre Viva Productions	USA	Paul Duddridge	Drama	28368	Mothers and Daughters	PG-13	6	5	2016	2016-05-6	90	4.9	Selma Blair	1959	Paige Cameron	2016	#MothersandDaughters	mothers_and_daughters	18.0	28.0	a pregnant photographer selma blair captures motherhood on film while re examining her relationship with her estranged mom	https://www.rottentomatoes.com/m/mothers_and_daughters_2016	0	1.0	1.0
720	3500000	Warner Bros. Animation	USA	Sam Liu	Animation	3775000	Batman: The Killing Joke	R	25	7	2016	2016-07-25	76	6.5	Kevin Conroy	36333	Brian Azzarello	2016	#Batman:TheKillingJoke	batman:_the_killing_joke	40.0	46.0	batman kevin conroy must save commissioner gordon ray wise from the joker s mark hamill twisted quest to drive him insane	https://www.rottentomatoes.com/m/batman_the_killing_joke	1	2.0	2.0
721	0	Borderline Presents	USA	Nicolas Pesce	Drama	25981	The Eyes of My Mother	R	2	12	2016	2016-12-2	76	6.2	Kika Magalhães	6947	Nicolas Pesce	2016	#TheEyesofMyMother	the_eyes_of_my_mother	78.0	57.0	francisca kika magalhaes has been unfazed by death from an early age because her mother formerly a surgeon in portugal imbued her with a thorough understanding of the human anatomy when tragedy shatters her family s idyllic life in the countryside her deep trauma gradually awakens some unique curiosities as she grows up her desire to connect with the world around her takes a distinctly dark form	https://www.rottentomatoes.com/m/the_eyes_of_my_mother	0	4.0	3.0
722	0	Les Productions du Trésor	France	Nicole Garcia	Drama	37757	From the Land of the Moon	R	28	7	2017	2017-07-28	120	6.7	Marion Cotillard	2411	Milena Agus	2016	#FromtheLandoftheMoon	from_the_land_of_the_moon	32.0	65.0	after world war ii a free spirited woman marion cotillard in a loveless marriage falls in love with another man	https://www.rottentomatoes.com/m/from_the_land_of_the_moon	0	2.0	3.0

Overview

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Pearson's r

Spearman's ρ

Kendall's τ

Phik (φk)

Cramér's V (φc)

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